In this paper, a distributionally robust model predictive control (DRMPC) algorithm is presented for spacecraft circular orbital rendezvous and docking problem in the presence of disturbance and constraints. We only assume the mean and covariance matrixes of stochastic disturbance are known. Obstacle avoidance is studied in rendezvous phase, the constraints of line of sight, attitude control bandwidth and thrust direction are considered simultaneously in docking phase. The problem is converted into a tractable second order cone program (SOCP). Monte-carlo simulations are given to demonstrate the superiority of proposed method.
Distributionally Model Predictive Control for Spacecraft Rendezvous and Docking
Lect. Notes Electrical Eng.
2021-10-30
11 pages
Article/Chapter (Book)
Electronic Resource
English
Distributionally Model Predictive Control for Spacecraft Rendezvous and Docking
British Library Conference Proceedings | 2022
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